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» On the Bit Extraction Problem
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158
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KES
2006
Springer
15 years 5 months ago
Sensor Network Localization Using Least Squares Kernel Regression
Abstract. This paper considers the sensor network localization problem using signal strength. Unlike range-based methods signal strength information is stored in a kernel matrix. L...
Anthony Kuh, Chaopin Zhu, Danilo P. Mandic
NAR
2006
129views more  NAR 2006»
15 years 5 months ago
AliWABA: alignment on the web through an A-Bruijn approach
Multiple sequence alignment programs are an invaluable tool in computational biology. A-Bruijn Alignment (ABA) is a method for multiple sequence alignment that represents an align...
Neil C. Jones, Degui Zhi, Benjamin J. Raphael
152
Voted
PR
2006
111views more  PR 2006»
15 years 5 months ago
The Bhattacharyya space for feature selection and its application to texture segmentation
A feature selection methodology based on a novel Bhattacharyya space is presented and illustrated with a texture segmentation problem. The Bhattacharyya space is constructed from ...
Constantino Carlos Reyes-Aldasoro, Abhir Bhalerao
172
Voted
TNN
2008
119views more  TNN 2008»
15 years 5 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal
JUCS
2007
105views more  JUCS 2007»
15 years 5 months ago
Graded Sparse Graphs and Matroids
: Sparse graphs and their associated matroids play an important role in rigidity theory, where they capture the combinatorics of some families of generic minimally rigid structures...
Audrey Lee, Ileana Streinu, Louis Theran